Abstract
This paper discusses a comparative analysis of different similarity measures for Hindi question answering system using machine learning approach from information retrieval and classification perspectives. Many machine learning tasks require similarity functions that evaluate likeness between examinations. Similarity computations are particularly important for clustering that depends on precise estimate of the distance between data points. This framework is considered for data matching for multiphrase words and misspelled words.
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References
Huang, A. (2008). Similarity measures for text document clustering. Hamilton, New Zealand: Department of Computer Science the University of Waikato. In New Zealand Computer Science Research Student Conference.
Khalid, S. M. A., Jijkoun, V,. & de Rijke, M. (2007). Machine learning for question answering from tabular data. In 18th International Workshop on Database and Expert Systems Applications, 1529-4188/07 © IEEE.
da Silva, R., Stasiu, R., Orengo, V. M., & Heuser, C. A. (2006). Measuring quality of similarity functions in approximate data matching. Journal of Informatics.
Patidar, A. K., Agarwal, J., & Mishra, N. (2012). Analysis of different similarity measure functions and their impacts on shared nearest neighbor clustering approach. International Journal of Computer Application, 40(16).
Lakshmana Pandian, S., & Geetha, T. V. (2008). Tamil question classification using morpheme features. Berlin Heidelberg: © Springer.
Kolomiyets, O., & Moens, M.-F. (2011). A survey of question answering technique from an information retrieval perspective. Information Science, 181, 5412–5434. Elsevier Inc.
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© 2016 Springer Science+Business Media Singapore
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Sneha, B., Mohit, D., Zorawar Singh, V. (2016). Comparison of Different Similarity Functions on Hindi QA System. In: Satapathy, S., Joshi, A., Modi, N., Pathak, N. (eds) Proceedings of International Conference on ICT for Sustainable Development. Advances in Intelligent Systems and Computing, vol 408. Springer, Singapore. https://doi.org/10.1007/978-981-10-0129-1_68
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DOI: https://doi.org/10.1007/978-981-10-0129-1_68
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-10-0129-1
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